Jialing Li

65 papers receiving 1.0k citations

Jialing Li's Hit Papers

Global evolution of research on green energy and environmental technologies:A bibliometric study 2021 · 259 citations
2590+1+3Years since publication50100150200250

Peers

Jialing Li
Comparison fields: 5 of 166
  • Energy Engineering and Power Technology 28
  • Renewable Energy, Sustainability and the Environment 98
  • Emergency Medical Services 33
  • Pollution 46
  • Health Informatics 5
Replace Xin Wang with:
Xin Wang China
Jin Li China
Shufan Zhang China
Xiaoli Hao China
John Frederick D. Tapia Philippines
Geoffrey Lewis United States
Kyung Nam Kim South Korea
Peidong Zhang China
Xue Ding China
Li Luo China
Jialing Li relative to Xin Wang China Xin Wang's profile →
Citations per field
00.5×2.5×
Xin Wang · 1×
Citations per year

Countries citing papers authored by Jialing Li

Since Specialization
Citations

This map shows the geographic impact of Jialing Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jialing Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jialing Li more than expected).

Fields of papers citing papers by Jialing Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jialing Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jialing Li. The network helps show where Jialing Li may publish in the future.

Co-authors

The 25 scholars most cited alongside Jialing Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jialing Li Line = papers co-authored together Jialing Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Global evolution of research on green energy and environmental technologies:A bibliometric study
Hit paper breakdown →
2021259
2 2021101
3 202177
4 202349
5 202435
6 201935
7 202231
8 201829
9 202328
10 202326
11 201823
12 202320
13 201919
14 202318
15 201918
16 201718
17 201717
18 201617
19 201716
20 201915

About Jialing Li

Jialing Li is a scholar working on Artificial Intelligence, Economics and Econometrics, Electrical and Electronic Engineering, Pulmonary and Respiratory Medicine and Materials Chemistry, having authored 78 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (5 papers), Neural Networks and Reservoir Computing (5 papers), Healthcare Policy and Management (3 papers), Digital Marketing and Social Media (3 papers), Energy, Environment, Economic Growth (3 papers), Environmental Sustainability in Business (3 papers), Hospital Admissions and Outcomes (3 papers) and Healthcare Operations and Scheduling Optimization (3 papers). The work is most often cited by research in Energy Engineering and Power Technology (28 citations), Renewable Energy, Sustainability and the Environment (98 citations), Emergency Medical Services (33 citations), Pollution (46 citations) and Health Informatics (5 citations). Jialing Li has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Hao Tan, Fanzhi Qin, Chen Zhang, Jiayu Li, Dan Zhi, He Min, Li Luo, Yang Yi, Jing Ji and Rong Hu. Their work appears in journals such as Chemical Engineering Journal, Sustainability, Frontiers in Neurology, Advanced Materials Interfaces and The International Journal of Health Planning and Management.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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